Lumped parameter model
Power balanced time-varying lumped parameter model of a vocal tract: modelling and simulation
... a lumped parameter model of waves in the vocal tract considering the motion of the ...proposed model is recast in the theoretical framework of port-Hamiltonian systems that ensure the power ...
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Assessment of the critical dimension prediction accuracy for the lumped parameter model for resist lithography
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Closed-loop lumped parameter modelling of hemodynamics during cirrhogenesis in rats
... rat model (N = ...lobe-specific lumped parameter model of the liver that was coupled to a closed-loop model of the entire circulation of the ...closed-loop model was further ...
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Model order reduction methods for parameter-dependent equations -- Applications in Uncertainty Quantification.
... nominal parameter value ¯ ξ ∈ Ξ or as the inverse (or any preconditioner) of a mean value of A(ξ) over Ξ (see ...the parameter set Ξ, these parameter-independent precon- ditioners behave relatively ...
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Dynamic Parameter Identification of a 6 DOF Industrial Robot using Power Model
... power model. This method uses a model with symbolic expressions dramatically simpler to compute than those of the usual inverse dynamic identification model, was formerly applied for the ...
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Lumped Parameter Thermal Model of Permanent Magnet Synchronous Machines
... reasons, lumped parameter thermal models are commonly used ...to model different parts of the machine such as yokes ...[5]. Lumped parameter models are also used for the modeling of ...
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Parameter regionalization for a process-oriented distributed model dedicated to flash floods
... catchment parameter sets can be considered as two important features of regionalization methods in the context of that ...on model efficiency in cal/val mode could be used to exclude poorly modelled ...
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Cartography of multi-agent model parameter space through a reactive dicotomous approach
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Robustness to outliers in location–scale parameter model using log-regularly varying distributions
... the model allows us to add prior information on the location and scale through a very general joint prior density, which includes the possibility to choose a noninformative ...
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Simulation strategies for optimal detection of regional climate model response to parameter modifications
... Too small domains are generally non-recommended for climate simulations and sensitivity studies because of the spurious effects of the proximity of the lateral boundarie[r] ...
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On the use of nonlinear model predictive control without parameter adaptation for batch processes
... the model being inaccurate, while re-identification of the parameters may not be possible due to the absence of persistency of ...Nonlinear Model Predictive Control (NMPC) without parameter ...
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Calibration of a lumped karst system model and application to the Qachqouch karst spring (Lebanon) under climate change conditions
... models, lumped models simplify karst systems (epikarst, conduit network, porous or fissured matrix, and superposed karstic series) into a schematic representation of interconnected reservoirs to reproduce spring ...
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Parameter Estimation of a Mathematical Model Describing the Cardiovascular-Respiratory Interaction
... joint model of the cardiovascular-respiratory system and ANS control to sim- ulate the short-term relations between HR, BP and respira- tion ...the parameter estimation method is specifically studied ...the ...
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Parameter estimation of a microbial fuel cell process control-oriented model
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Power transformer model in railway applications based on bond graph and parameter identification
... simulation model of this component is necessary. This model is then used in a simulation process to test several risk occurrences, previously to verification ...simulated model should consist of ...
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Maximum-Likelihood Parameter Estimation of the Product Model for Multilook Polarimetric SAR Data
... product model is assumed to be an appropri- ate statistical model for multilook polarimetric synthetic radar data ...this model, the observed signal is considered as the product of independent random ...
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Novel micromachined lumped band pass filter for 5.2 GHz WLAN applications
... The effects of the additional series inductor (Fig.3) on the final filter’s transmission parameter are evidenced by computing the insertion losses at 5.2 GHz for different values of the inductors quality factors. ...
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Conceptual rainfall-runoff model with a two-parameter, infinite characteristic time transfer function
... the model is a fractional dierential equation in the limit of long ...The model is applied successfully to two catchments, the Dud Koshi mountainous catchment in the Himalayas and the Durzon karst ...
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Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study
... estimation of cardiac tissue parameters and their uncertainty from noisy data. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014. Springer (2014) 9–16 6. Konukoglu, E., Relan, J., Cilingir, U., ...
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Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoising
... effect, but with the noticeable advantage of ensuring convex- ity of the resulting function to be minimized (see, e.g., [25] for an intermediate solution where the penalization term is not convex but where the global ...
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